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UNIVERSITI PUTRA MALAYSIA
CONCENTRATION, MARKET POWER AND PERFORMANCE OF THE MALAYSIAN POULTRY
INDUSTRY
ABDULRAZAK UMAR MUA’ZU
FP 2014 43
CONCENTRATION, MARKET POWER ANDPERFORMANCE OF THE MALAYSIAN POULTRY
INDUSTRY
By
ABDULRAZAK UMAR MUA’ZU
Thesis Submitted to the School of Graduate Studies, Universiti PutraMalaysia, in Fulfilment of the Requirements for the Degree of Doctor
of Philosophy
April 2014
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COPYRIGHT
All material contained within the thesis including without limitation text,logos,icons, photographs and all other artwork, is copyright material of Universiti Pu-tra Malaysia unless otherwise stated. Use may be made of any material containedwithin the thesis for non-commercial purposes from the copyright holder. Commer-cial use of material may only be made with the express, prior, written permissionof Universiti Putra Malaysia.
Copyright c©Universiti Putra Malaysia
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DEDICATIONS
This work is dedicated to my parents
Hajiya Saudatu Ummaru Muazu
and
late Alhaji Ummaru Muazu (may his soul rest in peace)
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Abstract of thesis presented to the Senate of Universiti Putra Malaysia infulfilment of the requirement for the degree of Doctor of Philosophy
CONCENTRATION, MARKET POWER AND PERFORMANCEOF THE MALAYSIAN POULTRY INDUSTRY
By
ABDULRAZAK UMAR MUA’ZU
April 2014
Chair: Professor Zainal Abidin Mohamed, PhDFaculty: Agriculture
Over the last few decades, Poultry industry in Malaysia has undergone majorstructural changes both horizontally and vertically due to the consolidation andintegration of agribusiness. As such there is increasing concern about concentra-tion and possible exercise of market power along the industry supply chain. Thegeneral objective of this study is to examine relationship among the market struc-ture (concentration), market power and performance of the Malaysian poultrymarket. The general objective is achieved through an integrated study approachsegmented in two separate but related sections; the first segment is the structure-conduct-performance (SCP) and market power analysis and the second segment isprice transmission and market integration analysis using time-series co-integrationmodel.
The result of the SCP model suggests farm level market is moderately concen-trated over the study period indicated by the CR4 61.9% and HHI 2179. Marketconduct analysis shows firms’ in the industry increases their profit through marketshare rather than price suggesting an oligopolistic market structure. The resultof the 2SLS indicates market concentration in the Malaysian poultry market haspositive relationship with advertising. Industry growth has significant but nega-tive effect on both advertisements and profit. The result revealed a two-way causeand effects existed between market concentration and industry behavior.
The result of the estimated demand and supply equations of poultry market inMalaysia shows that chicken meat demand is inelastic -0.124 indicating that con-sumer are not sensitive to price changes. On the other hand income elasticity is
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elastic at 3.636 implying that poultry meat as luxury good. The cross-price elas-ticity with respect to beef is -2.405 rejecting beef as a substitute to chicken meatin Malaysia. Results of the market power analysis show that the coefficient of con-duct parameter for the three sub-periods of 1980-1990, 1991-2004 and 2005-2010were 0.6740, 0.5540 and 0.5790 respectively, rejecting the hypothesis that raisingconcentration means increasing market power. The values of the parameter liebetween 0 and 1 which suggests imperfect competitive market in the Malaysianpoultry industry as more farmers opt to join poultry integrators.
Analysis of asymmetry price transmission model reveals that retail prices reactmore rapidly but not completely to increases in upstream (producer) prices thanto decreases. The result of Granger-Causality suggests regional markets as inde-pendents and central market of Kuala Lumpur as dominant market.
Based on the overall findings, we can postulate that vertically integrated marketstructure foster competition through efficiency gain as against market foreclosureas posits by the conversional SCP collusive hypothesis. The findings of the studywould lead to development of new policy to increase viability, competitiveness andaccessibility of the Malaysian poultry industry locally and internationally.
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Abstrak tesis yang dikemukakan kepada Senat Universiti Putra Malaysia sebagaimemenuhi keperluan untuk ijazah Doktor Falsafah
PENUMPUAN, KUASA PASARAN DAN PRESTASI TERHADAPINDUSTRI TERNAKAN AYAM DI MALAYSIA
Oleh
ABDULRAZAK UMAR MUA’ZU
April 2014
Pengerusi: Professor Zainal Abidin Mohamed, PhDFakulti: Pertanian
Sejak beberapa dekad yang lalu, industri Ayam di Malaysia telah mengalami pe-rubahan struktur utama mendatar dan menegak disebabkan oleh penggabungandan penyepaduan perniagaan tani. Oleh itu terdapat peningkatan kebimbanganmengenai kepekatan dan senaman mungkin kuasa pasaran di sepanjang rantaianbekalan industri.
Objektif umum kajian ini adalah untuk mengkaji hubungan antara struktur pasaran(penumpuan), kuasa pasaran dan prestasi pasaran ternakan Malaysia. Objektif ka-jian ini dicapai melalui pendekatan kajian bersepadu dibahagikan dalam dua baha-gian yang berasingan tetapi berkaitan; segmen pertama adalah struktur-kelakuanPrestasi (SCP) dan analisis kuasa pasaran dan segmen kedua adalah penghan-taran harga dan analisis integrasi pasaran menggunakan masa-siri bersama inte-grasi model.
Hasil model SCP mencadangkan pasaran peringkat ladang adalah sederhana ter-tumpu sepanjang tempoh kajian ditunjukkan oleh CR4 61.9% dan HHI 2179 . Pen-gendalian pasaran analisis menunjukkan firma dalam industri meningkatkan keun-tungan mereka melalui bahagian pasaran dan bukan mencadangkan harga strukturpasaran oligopoli . Hasil daripada 2SLS menunjukkan penumpuan pasaran dalamternakan Malaysia mempunyai hubungan positif dengan pengiklanan. Pertum-buhan industri mempunyai kesan yang ketara tetapi negatif kepada kedua-duaiklan dan keuntungan. Penemuan ini mengungkap punca dua hala dan kesan wu-jud antara penumpuan pasaran dan tingkah laku industri.
Hasil daripada permintaan dan penawaran persamaan anggaran pasaran ayamdi Malaysia menunjukkan bahawa permintaan daging ayam adalah tidak boleh
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berubah -0.124 menunjukkan bahawa pengguna tidak sensitif dengan perubahanharga. Dalam pada itu, keanjalan pendapatan adalah elastik di 3.636 mem-bayangkan bahawa daging ayam sebagai barang yang mewah. Keanjalan silangharga berkenaan dengan daging lembu adalah -2.405 daging lembu menolak seba-gai ganti kepada daging ayam di Malaysia. Keputusan analisis kuasa pasaran me-nunjukkan bahawa pekali kelakuan parameter untuk tiga sub- tempoh 1980-1990,1991-2004 dan 2005-2010 adalah masing-masing 0.6740, 0.5540 dan 0.5790, meno-lak hipotesis bahawa meningkatkan kepekatan bermaksud meningkatkan kuasapasaran. Nilai-nilai parameter terletak di antara 0 dan 1 yang menunjukkanpasaran yang kompetitif yang tidak sempurna dalam industri ternakan Malaysiasebagai lebih ramai petani memilih untuk menyertai penyepadu ayam.
Analisis asimetri harga model penghantaran mendedahkan bahawa harga runcitbertindak balas dengan lebih cepat tetapi tidak sepenuhnya harga kenaikan huluan(pengeluar) daripada berkurangan. Hasil keputusan Granger - Causality men-cadangkan pasaran serantau sebagai bebas dan pasaran utama di Kuala Lumpursebagai pasaran dominan.
Berdasarkan dapatan kajian ini, secara keseluruhannya kita boleh mendalilkanbahawa persaingan memupuk struktur pasaran menegak bersepadu melalui ke-cekapan keuntungan berbanding pasaran forecloses sebagai posits oleh SCP kon-versional hipotesis pakatan sulit. Hasil kajian itu akan membawa kepada pemban-gunan dasar baru untuk meningkatkan daya maju, daya saing dan akses kepadaindustri ternakan Malaysia tempatan dan antarabangsa.
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ACKNOWLEDGEMENTS
All praise is due to Allah, the Lord of the Universe and all its surroundings, bywhose grace and blessings we are able to realize our dreams. His peace and blessingsare bestowed upon the noble prophet and the best of all creations; Muhammad,his pure progeny, his righteous companions and all those who follow their footstepswith sincerity up to the last day.
First and foremast, I would like to begin with expression of my sincere feelingsand gratitude to my supervisory committee; I am greatly indebted to you all foryour guidance, support and concern both academically and otherwise. I am shortof expressions to show enough appreciation to my mentor Professor Zainal AbidinMohamed; Chairman of the supervisory committee, who has acted not only asan academic advisor but also as a farther, for his valuable comments, guidance,suggestions, and moral support throughout the period of writing this thesis. Itis from him i learnt to think analytically and critically argue to issues, his doorremain open to me for any request regarding my research throughout my stay inthis University. Secondly, I will like to thank Professor Datuk Mad Nasir Sham-sudin (Deputy Vice Chancellor Academics and International) a member of mysupervisory committee for his constructive criticism and suggestions throughoutthe period of writing this thesis. Last but not the least, i would also have to thankDr. Ismail AbduLatif also a member of my supervisory committee for his preciousadvice, guidance and courage in the completion of this thesis.
I also owed a great deal of appreciation to Tertiary Education Trust Fund (TET-FUND) Abuja-Nigeria formally known Education Trust Fund (ETF) for spon-soring this study with the approval and recommendation of my college; FederalCollege of Education (Tech), Gusau-Zamfara state Nigeria, without their scholar-ship this study would have not been a reality.
I would like to also thank the Universiti Putra Malaysia Research and Devel-opment Unit under the leadership of Vice Chancellor Research and Internationalthrough the Research Universty Grants (RUGS 6) initiatives for their financialsupport during information seeking, their financial support has made it possibleto attend conferences and presents research findings and also pay for Journal pub-lications.
My acknowledgement also goes to a number of government organizations and agen-cies in Malaysia for their support and contribution to the success of this study;among them Federal Agricultural Marketing Authority, specifically, to Dr. BisantKaur Head of Marketing Unit for her support and assistance. Secondly, i wish toshow my appreciation to the Staff of Department of Veterinary Services Malaysia,Company Commission of Malaysia (Suruhanjaya Syarikat Malaysia), without theirguide and assistance during information seeking and data collection, this study
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would not have been possible.
I wish to also acknowledge with thanks; very much indeed, to all those who weredirectly or indirectly involve in the realization of this thesis. There are some par-ticularly unforgettable and specific names; Abdulaziz Shehu Faculty of Economicsand Management UPM; Malam Hamisu Musa Katsina, and Aliyu Usman MoyiDepartment of Mathematics, Faculty of Science, UPM, Engineer Abubakar SadiqFaculty of Engineering UPM.
It will be an incomplete acknowledgement without expressing my sincere appre-ciation and gratitude to my wife Binta Umar Jabaka and my five children; Hal-ima, Maryam, Hafsat, Umar (Walid) and Saudatu (Walida) who stay with me inMalaysia for the entire period of this study. I wish to thank them for their patienceand understanding throughout the period of writing this thesis.
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This thesis was submitted to the Senate of Universiti Putra Malaysia and hasbeen accepted as fulfilment of the requirement for the degree of Degree of Doctorof Philosophy. The members of the Supervisory Committee were as follows:
Zainal Abidin Mohamed, PhDProfessorFaculty of AgricultureUniversiti Putra Malaysia(Chairperson)
Datuk Mad Nasir Shamsudin, PhDProfessorFaculty of AgricultureUniversiti Putra Malaysia(Member)
Ismail Abdulatif, PhDSenior LecturerFaculty of AgricultureUniversiti Putra Malaysia(Member)
BUJANG BIN KIM HUAT, PhDProfessor and DeanSchool of Graduate StudiesUniversiti Putra Malaysia
Date:
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TABLE OF CONTENTS
Page
ABSTRACT iii
ABSTRAK v
ACKNOWLEDGEMENTS vii
APPROVAL ix
DECLARATION xi
LIST OF TABLES xvi
LIST OF FIGURES xviii
LIST OF ABBREVIATIONS xix
CHAPTER
1 INTRODUCTION 11.1 Study Background and Motivation 11.2 Problem Statement 21.3 Objective of the Study 31.4 Significance of the Study 41.5 Structure of the Thesis 5
2 LITERATURE REVIEW 62.1 Theoretical Framework 62.2 Structure-Conduct-Performance (SCP) 62.3 Empirical evidence of the measures of SCP model 8
2.3.1 Measures of performance 92.3.2 Measures of market structure 112.3.3 Measures of entry barriers 12
2.4 Econometric Model Specification and Estimation procedure 152.5 SCP Measurements and Statistical Problems 162.6 Measuring Market Power 17
2.6.1 New Empirical Industrial Organization (NEIO) 182.6.2 Bresnahan-Lau model 192.6.3 Time Series Models 212.6.4 Symmetric-asymmetric price transmission 222.6.5 Market integration 262.6.6 Chapter Summary 28
3 OVERVIEW OF THE MALAYSIAN AGRICULTURE 303.1 Contribution of Agriculture to the Malaysian GDP 303.2 Malaysian Agricultural Policy Development 33
3.2.1 National Agriculture Policy (NAP) 33
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3.2.2 National Agro-food Policy (2011-2020) 343.3 Livestock Industry in Malaysia 353.4 Background of the Malaysian Poultry Industry 36
3.4.1 Production, consumption and self sufficiency of poultry prod-ucts in Malaysia 39
3.4.2 Structure of the Malaysian poultry industry 413.4.3 Industry supply chain 453.4.4 Vertical integration 463.4.5 Contract farming 503.4.6 Poultry products marketing 513.4.7 Exports and imports 523.4.8 Costs structure and price determination 543.4.9 Price transmission 563.4.10 Malaysian Government policy on domestic poultry production 57
4 DATA AND RESEARCH METHODOLOGY 594.1 Structure-Conduct-Performance 59
4.1.1 Theoretical framework of SCP analysis 594.1.2 Model specification and estimation procedure 604.1.3 Measures of market structure 634.1.4 Measures of market conduct 644.1.5 Measures of market performance 664.1.6 Econometric model 684.1.7 Market structure equation 684.1.8 Market conduct equation 704.1.9 Profitability equation 714.1.10 Model estimation 72
4.2 Market Power Analysis 734.2.1 Theoretical framework of the market power analysis 734.2.2 Model specification and estimation procedure 78
4.3 Price Transmission and Market Integration Analysis 804.3.1 Asymmetry price transmission estimation procedure 824.3.2 Market integration 84
5 RESULTS ON SCP AND MARKET POWER ANALYSIS 885.1 Results of the Structure-Conduct-Performance of the Malaysian Poul-
try Industry Supply Chain 885.1.1 Data Definition and Data Source 885.1.2 Results of the measures of market structure 895.1.3 Results of the measures of market conduct 935.1.4 Results of the measures of market performance 965.1.5 Correlation coefficient on the SCP market variables 985.1.6 Results of the econometric model 98
5.2 Results of the Market Power Analysis 104
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5.2.1 Descriptive Statistics of the Chicken Demand and SupplyVariables 104
5.2.2 Results of the Unit root tests 1045.2.3 Results of regression estimates for the demand equation 1065.2.4 Results of 2SLS regression estimates for supply relation equa-
tions 108
6 RESULTS ON VERTICAL PRICE TRANSMISSION AND MAR-KET INTEGRATION ANALYSIS 1126.1 Results of the Vertical Price Transmission Analysis 112
6.1.1 Variable definition and data description 1126.1.2 Results of the unit root tests 1136.1.3 Estimation of the general co-integration relationship 1136.1.4 Granger-causality elasticity estimates 1146.1.5 Results of asymmetric price transmission analysis 116
6.2 Results of the Market Integration Analysis 1216.2.1 Variable definition and data description 1216.2.2 Capacity and volume of poultry production by regions in
Malaysia 1226.2.3 Estimation of the ARDL co-integration tests 1226.2.4 Results of the Granger-causality Tests 123
7 SUMMARY, CONCLUSION AND RECOMMENDATION 1267.1 Summary 1267.2 General Conclusion 1287.3 Policy Recommendation 130
7.3.1 Limitation of the Study 132
REFERENCES/BIBLIOGRAPHY 133
APPENDICES 147
BIODATA OF STUDENT 160
LIST OF PUBLICATIONS 161
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LIST OF TABLES
Table Page
3.1 GDP and Percentage Share by Kind of Economic Activity in Malaysia(1970 - 2011) 31
3.2 Percentage Agriculture Value Added and Average Growth Rate inMalaysia (2007-2011) 32
3.3 Livestock Production in Peninsular Malaysia (2007 - 2011) 363.4 Ex-Farm Value of Livestock Products in Malaysia (RM Million),
2001-2011 373.5 Chicken Population by Type and Year in Malaysia in (’000) 383.6 Supply of Day-Old-chick (DOC) and Broiler Chicken in Malaysia
(1996-2011) 403.7 Production, Consumption and Self-sufficiency of Poultry Products
in Malaysia (2001-2011) 413.8 Number of Companies at Farm Level of the Malaysian Poultry Market 423.9 Number of Broiler Farms and Capacity by States in Peninsular
Malaysia 2010-2011 433.10 Number of Layer Farms and Capacity by States in Peninsular Malaysia
2010-2011 443.11 Ten Top Broiler Chicken Producer Companies and Bird Capacity
in Malaysia 473.12 Exports of live birds and chicken meat in Peninsular Malaysia (2004-
2011) 543.13 Broiler Production Costs and Average Ex-farm Price (2006-2011) 553.14 Highest, Lowest and Average Price of Broiler in Malaysia (2010-2011) 56
4.1 SCP Model Variable Definition 69
5.1 Concentration ratio and HHI in Cumulative (%) of Market Sharefor Farm Level in the Malaysian Poultry 2005-2011 90
5.2 Concentration ratio and HHI in Cumulative (%) of Market Sharefor wholesale Level in the Malaysian Poultry 2005-2011 91
5.3 Concentration ratio and HHI in Cumulative (%) of Market Sharefor retail market Level in the Malaysian Poultry 2005-2011 92
5.4 Gini Coefficient of Market levels of the Malaysian poultry industry(2005-2011) 93
5.5 Results of the Market Conduct Analysis of the Malaysian poultryindustry 96
5.6 Results of the Profitability Ratio Analysis of the Malaysian poultryindustry 97
5.7 Results of the OLS Estimates 1005.8 Results of the 2SLS Estimates 101
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5.9 Descriptive Statistics of the Chicken Demand and Supply Variablesin Malaysia 105
5.10 ADF unit root tests 1065.11 Estimates of the chicken demand equation 1075.12 2SLS Regression Estimates for Supply Relation Equation 110
6.1 Results of the Unit Root Tests (Stationary) 1146.2 Results of the Johansen Co-integration tests 1146.3 Elasticity estimates based on Granger causality tests 1156.4 Estimates of the asymmetric price transmission with error correc-
tion model (Dependent Variable ∆Retail Price(t)) 1196.5 Estimates of the asymmetry price transmission with error correction
model (Dependent Variable ∆Farm Price(t)) 1206.6 Results of Wald test for asymmetry based on Error Correction Model1216.7 Bound testing approach to co-integration 1236.8 Error correction representation of the ARDL model 1236.9 Results of pair-wise Granger-causality tests 125
A.1 Industries in the Malaysian Poultry Market Based on MSIC, 20085-digit Code 147
A.2 Quantity of Chicken Meat Supplied, Value of Sales, and Share forIntegrator Firms in Peninsular Malaysia 149
A.3 Quantity of Chicken Meat Supplied, Value of Sales, and Share forNon-integrator Firms in Peninsular Malaysia 150
A.4 Market Value and Firms According to Size Group in Farm Level ofPoultry Industry in Peninsular Malaysia 151
A.5 Market Value and Firms According to Size Group in Retail marketLevel of Poultry Industry in Peninsular Malaysia 152
A.6 Correlation Coefficients of the Market Variables in the SCP ModelEquations 153
A.7 Summary Statistics of Variables for SCP Malaysian Poultry Model 155
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LIST OF FIGURES
Figure Page
2.1 Relationship between market structure, efficiency and competitionaccording to SCP and X-efficiency hypothesis 9
3.1 Graphical Representation of Integrated Malaysian Poultry SupplyChain 49
3.2 A Typical Integrated Poultry Supply Chain Through ContractsFarming 51
3.3 Marketing Channels and Flow of Chicken-broiler for Integrator andIndependent Farmers in Peninsular Malaysia 53
4.1 Conceptual Framework of the Structure-Conduct-Performance Model 614.2 Hypothesized Malaysian Poultry SCP Model 624.3 Parallel shift of the demand curve - conduct parameter not identified 764.4 Parallel shift of the demand curve - conduct parameter identified 77
5.1 Gini Coefficient for Malaysian Poultry Industry, 2011 945.2 Summary of the cause and effects between components of the SCP
in the Malaysian poultry industry 103
6.1 Monthly average broiler price: Farm, Wholesale and Retail marketlevels in Peninsular Malaysia (2000-2012) 113
A.1 Gini Coefficient for Farm Level Malaysian Poultry Industry, 2011 148A.2 Gini Coefficient for Wholesale market level Malaysian Poultry In-
dustry, 2011 148A.3 Gini Coefficient for Retail market level Malaysian Poultry Industry,
2011 153A.4 Normality Test for the supply relation equation 154B.1 Normality Test of the asymmetry price transmission model 156B.2 CUSUM Test for Structural Stability of the asymmetry price trans-
mission model 157B.3 CUSUMSQ Test for Structural Stability of the asymmetry price
transmission model 158B.4 Poultry Production Capacity in Malaysia by Region (2005-2012) 158B.5 Trend of Broiler Wholesale Price of regional Markets in Peninsular
Malaysia (2000-2011) 159B.6 Average monthly Wholesale and Retail broiler price by state in
Peninsular Malaysia (2011) 159
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LIST OF ABBREVIATIONS
ADV Advertising IntensityADF Augmented Dickey-FullerAIC Akaike Information CriterionAPT Asymmetric Price TransmissionARDL Autoregressive Distributed LagASEAN Association of South-East Asian NationBL Bresnahan-LauCAPI Capital IntensityCCM Companies Commission of MalaysiaCR Concentration RatioDOSM Department of Statistics MalaysiaDVS Department of Veterinary servicesDWHT Durbin-Wu-Hausman TestECM Error Correction ModelFAMA Federal Agricultural Marketing AuthorityGC Gini CoefficientGDP Gross Domestic ProductGRW Growth of SalesHHI Herfindahl-Hirschman IndexKLSE Kuala Lumpur Stock ExchangeMIDA Malaysian Industrial Development AuthorityMSIC Malaysian Standard Industrial ClassificationMOA Ministry of AgricultureNAP National Agricultural Policy
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NEIO New Empirical Industrial OrganizationOLS Ordinary Least SquarePCM Price-Cost-MarginPP Philips-PerronRM Ringgit MalaysiaROA Rate of Return on Assets After TaxROE Rate of Return on Shareholder’s Equity After TaxROS Rate of Return on Sales After TaxR & D Research and DevelopmentSCP Structure-Conduct-PerformanceSSM Suruhanjaya Syarikat MalaysiaTSLS Two Stage Least SquareWTO World Trade OrganizationW-H Wolffram-Houck3SLS Three-Stage Least Square
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CHAPTER 1
INTRODUCTION
1.1 Study Background and Motivation
The number of firms in most agricultural food industries has declined in most coun-tries of the world. The declined has caused the average size of firms to increase ina process known as consolidation (Baker, 2003; Traill and Gilpin, 1998). As con-solidation has proceeded, a few firms have increased market share more than theremaining firms through the process of concentration (Rogers 2001). Economists’assumption of many small, price-taking firms might be maintained in the presenceof some consolidation, as firms become somewhat larger but each still has an equaland negligible influence in the market. Concentration, however, delivers a smallsubset of very large firms with the potential to exert greater influence over pricesand trading conditions than their smaller counterparts. Concentration has beenshown to occur in both input markets and product markets and at all stages ofthe marketing chain.
Identifying relationship between market concentration and efficiency/performancehas been a central theme in industrial organization economics. Early followers ofthe structure-conduct-performance tradition tried to uncover a clear link betweenmarket structure (concentration) and economic performance using cross-industrydata. Unfortunately, decades of empirical and theoretical research has establishedthat there is not a consistent and unambiguous mapping from structure to perfor-mance. Although empirical studies generally find a positive relationship betweenindustry concentration and profitability, the relationship is weak statistically .
The SCP paradigm dominates the industrial organization empirical to the studyof relationship between concentration and performance between the 1950s until1980s. The contribution of the paradigm to began to gradually erode in the 1980swith the emergence of the New Empirical Industrial Organization approach. Un-derlying the NEIO approach was the idea that individual industries are sufficientlydistinct, and industry details sufficiently important, that cross-industry variationwas often going to be problematic as a source of identification. Instead, the newwave of research set out to understand the institutional details of particular indus-tries instead of cross-sectional industries and to use this knowledge to test specifichypotheses about consumer or firm behavior within the particular industry.
The structure and composition of the present day Malaysian poultry industry ex-hibit a modern form of vertical organization with large processing firms integratingthe market value chain. By this many individual poultry processing companies ownalmost all aspects of production-breeding farms, multiplication farms, hatcheries,feed mills, some broiler growing farms, processing plants and poultry product retailoutlets. With this development, the industry is vertically integrated with highlyspecialized forms of vertical coordination along the supply chain notably, the con-
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tract farming and integrated ownership operations by processing company.
This development has caused considerable structural changes in the industry inrecent years. Most contentious among these changes is the acquisition and replace-ment of small-holder poultry farms into large scale farms which results in a declinein the total number of farms. Secondly, the substantial vertical coordination inthe supply chain has resulted in the increasing importance of the integrators inthe poultry production in the country. Contract farming has dominated the en-tire production system in the industry with a large proportion more than (75%)of broiler grower segment of the poultry production industry now under privatecontract arrangements.
With the vertical coordination by large firms in the Malaysian poultry market,interim reports by the Malaysian Company Commission on the status of broilerindustry stated that 67 per cent of parent stock requirements in the country weresupplied by 5 integrators. The report also shows 59 per cent of breeder farms’output was supplied by 5 integrators and 39 per cent was supplied by 21 non-integrators and only 5 integrators supplied between 50 to 60 per cent of the totaloutput from all broiler growing farms. Furthermore, (DOSM 2008) computed theCR-4 ratio for the downstream poultry processing segment of the supply chain (atthe MSIC 4-digit level) to be 88.5 per cent, and the Herfindahl-Hirschman Index(”HHI”) to be 3,450.4. Both of these computed indices are clear indication of theincreasing concentration in the industry.
1.2 Problem Statement
Early empirical industrial organization economics have established a significantpositive relationship between concentration, market power and firm performance.According to conventional oligopoly theory, this signals the ability of the leadingfirms in concentrated markets to collude tacitly or explicitly. However, some ana-lysts argue that it is the superior efficiency of large firms which result in both highconcentration and high profits. The analysts support this argument with evidencein many instances that concentration increases the profits of large firms but notsmaller ones. If the firms in an industry are equally efficient, effective collusionshould raise the profits of small and large firms alike. Traditionally, various studieshave tested these hypotheses using structure, conduct and performance paradigm(SCP).
According to this paradigm, structure affects the conduct of firms, which ulti-mately determines their performance. Concentration will facilitate the adoption ofcollusive conduct and, ultimately, the setting of prices departing from the perfectlycompetitive benchmark. In a perfectly competitive market, firms are consideredtoo small to have an individual impact on the price of the good they produce.
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From the point of view of social welfare, perfect competition represents an idealbenchmark, since consumers pay the lowest possible price for the product theydemand. Any situation in which firms command some degree of market powerand are therefore able to set higher than competitive prices implies a social costin terms of welfare loss for consumers.
The structure-conduct-performance paradigm further predicts that there is an in-creasing relationship between the level of market concentration and market power.Some authors are more precise in stating that the relationship, while it is increas-ing, may not be linear. One would expect that at low levels of concentration,conduct is close to competitive, and an increase in concentration would generatea substantial increase in market power. At high levels of concentration, conductis already very far from the competitive benchmark, and an additional increasewould not increase market power very much. Given this argument, the marketconcentration, market power and performance relationship could be studied in theintegrated Malaysian poultry industry.
Further theoretical and empirical research of industrial economics leads to cat-egorization of industrial organization studies into four approaches grouped in twomajor stream; the structural models and non-structural models ( Bikker, 2004).The structural models include the structure-conduct-performance models and thestructure-efficiency hypothesis (concentration-market power studies). The non-structural models are the New Empirical Industrial Organization (NEIO) and thetime series models. Industrial organization literature revealed that these four ap-proaches can be employed to analyze market structure,and industry performance.
Considering the importance of the poultry industry in Malaysia economy, andthe fact that it doesn’t strongly suggests whether efficiency, concentration, andprofits are interrelated in Malaysian poultry industry, there is need to investigatewhether the concentration-profits relationship derives largely from efficiency as be-lief by others or largely from collusive behavior, as the conventional view wouldhave it. For years back this is has been an empirical question and the answer hasimportant implications for merger policies, remedies pertaining to tacitly collusiveoligopolies and monopolies.
This study adopted an integrated approach by combining three models; the SCP,NEIO, time series approaches to explaining the relationship among the marketconcentration, market power and industry performance in the Malaysian poultryindustry.
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1.3 Objective of the Study
The general objective of the study is to examine the relationship between mar-ket structure (concentration), market power and performance of the integratedMalaysian poultry industry. The general objective will be achieved through thefollowing specific objectives;
• To describe the structure-conduct and performance of the Malaysian poultryindustry supply chain.
• To assess the degree of market power exerted by the integrators along theMalaysian poultry industry supply chain.
• To describe the retail-wholesale-farm price spread along the supply chain toobserve symmetry or otherwise in the price transmission process within theindustry.
• To examine spatial Price Transmission amongst Wholesale Poultry Marketsin Peninsular Malaysia.
1.4 Significance of the Study
Malaysian poultry industry is likely to increase in importance in the near future, asthe government is currently putting more importance to the development of agri-cultural sector to increase self-sufficiency level in food production and economicdevelopment. For instance, the ninth Malaysian plan had among other objectivesprojected to achieve developing and revitalizing agriculture to become third en-gine of the country’s economic growth after service and manufacturing sectors.Poultry industry in Malaysia with largest share of the livestock sub-sector of theagriculture and high food manufacturing value added may be one of the govern-ment targets to achieve these objectives.
Secondly, although production has exceeded domestic demand for the poultryproducts, the industry may need to make new inroads for new markets overseas,especially with the Malaysian ambition of becoming international Halal food hub.It may deem necessary to develop a competitive and efficient markets throughproper government policies and incentives.
In view of this, the study will be of significance to the government agencies andpolicy makers involve in policy formulation for the development of competitive andefficient poultry marketing system in Malaysia. Furthermore, as competitivenessand market efficiency are becoming increasingly more important with liberalizationof both national and international markets under the World Trade Organizationtreaty (WTO), this study is significant to give more insight to those concerned.The outcome of the study will also be beneficial to researchers and students in
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improving the market for the poultry products in the country.
1.5 Structure of the Thesis
This study report is organized into seven chapters: The first chapter is the intro-ductory, which includes the background and motivation of the study, discussingthe main issues of concern, the objective of the study and the significance of thestudy. The second chapter is a comprehensive review of relevant past literature.The organization of the literature first provides a discussion on theoretical frame-work regarding methodologies on studies of market structure and performance andin the last part of the chapter there are reviews of empirical literature relevant tothis study.
The third chapter presents an overview of the Malaysian agriculture in particularthe poultry industry in Malaysia. The fourth chapter elaborates the methodol-ogy adopted to achieve the objectives of this study. The structure of the chap-ter is first, a brief introduction, the model specification and estimation methodadopted. The results of this study is presented in two chapters (chapter five andsix). Chapter five documents first finding as the results and discussions of thestructure-conduct-performance and market power analysis. Chapter six outlinesthe second findings as the results and discussions of the price asymmetry and mar-ket integration analysis. Chapter seven presents summary, general conclusion andpolicy recommendations and limitations of the study.
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BIBLIOGRAPHY
Abdulai, A. 2000. Spatial price transmission and asymmetry in the Ghanaianmaize market. Journal of Development Economics 63 (2): 327–349.
Aguiar, D. R. and Santana, J. A. 2002. Asymmetry in farm to retail price trans-mission: evidence from Brazil. Agribusiness 18 (1): 37–48.
Alexander, C. and Wyeth, J. 1994. Cointegration and market integration: Anapplication to the Indonesian rice market. The Journal of Development Studies30 (2): 303–334.
Alexander, D. L. 1988. The oligopoly solution tested. Economics Letters 28 (4):361–364.
APEC Malaysian Agricultural Technical Cooperation Working Group. 2008,Markt Liberalization and its Relationship with Srtucture, Conduct and Per-formance of the Food Processing industrybin ASEAN Economies, Tech. Rep.APEC No 208-AT-01.2, Malaysian Agricultural Research and Development In-stitute, Kuala Lumpur, Malaysia.
Appelbaum, E. 1982. The estimation of the degree of oligopoly power. Journal ofEconometrics 19 (2): 287–299.
Arshad, F. M. and Kaur, B. 2007, In 50 Years of Malaysian Agriculture: Trans-formational Issues, Challenges and Direction, In 50 Years of Malaysian Agricul-ture: Transformational Issues, Challenges and Direction, first edition edn., firstedition edn., 585–615, University Putra Malaysia: Penerbit Universiti PutraMalaysia, 585–615.
Azzam, A. M. 1997. Measuring Market Power and Cost-efficiency Effects of Indus-trial Concentration. The Journal of Industrial Economics 45 (4): 377–386.
Azzam, A. M. 1999. Asymmetry and rigidity in farm-retail price transmission.American journal of agricultural economics 81 (3): 525–533.
Baharumshah, A. Z., Mohd, S. H. and Mansur M Masih, A. 2009. The stability ofmoney demand in China: Evidence from the ARDL model. Economic systems33 (3): 231–244.
Bain, J. S. 1951. Relation of profit rate to industry concentration: American man-ufacturing, 1936-1940. The Quarterly Journal of Economics 65 (3): 293–324.
Bain, Joe, S. 1956. Barriers to new competition. Cambridge, Harvard University .
Baker, D. 2003. The Danish food marketing chain: developments and policychoices . Fdevarekonomisk Institut.
133
© COPYRIG
HT UPM
Bakucs, L. Z., Falkowski, J. and Ferto, I. 2012. What causes asymmetric pricetransmission in agro-food sector? Meta-analysis perspective. In 86th AnnualConference of Agricultural Economic Society, University of Warwick, UK , 16–18.
Baldwin, J. R. and Gorecki, P. K. 1985. The determinants of small plant mar-ket share in Canadian manufacturing industries in the 1970s. The Review ofEconomics and Statistics 156–161.
Banerjee, A., Dolado, J. and Mestre, R. 2001. Error-correction mechanism testsfor cointegration in a single-equation framework. Journal of time series analysis19 (3): 267–283.
Barrett, C. B. 1996. Market analysis methods: are our enriched toolkits well suitedto enlivened markets? American Journal of Agricultural Economics 78 (3): 825–829.
Bask, M., Lundgren, J. and Rudholm, N. 2011. Market power in the expandingNordic power market. Applied Economics 43 (9): 1035–1043.
Baulch, B. 1997. Testing for food market integration revisited. The Journal ofDevelopment Studies 33 (4): 512–534.
Ben-Kaabia, M. and Gil, J. M. 2007. Asymmetric price transmission in the Spanishlamb sector. European Review of Agricultural Economics 34 (1): 53–80.
Berg, S. A. and Kim, M. 1994. Oligopolistic interdependence and the structure ofproduction in banking: an empirical evaluation. Journal of Money, Credit andBanking 26 (2): 309–322.
Berger, A. N. 1995. The profit-structure relationship in banking-tests of market-power and efficient-structure hypotheses. Journal of Money, Credit and Banking27 (2): 404–431.
Berk, J. B. and Green, R. C. 2002, Mutual fund flows and performance in rationalmarkets, Tech. rep., National Bureau of Economic Research.
Bernard, J. C. and Willett, L. S. 1996. Asymmetric price relationships in the USbroiler industry. Journal of Agricultural and Applied Economics 28: 279290.
Bhattacharya, M. and Bloch, H. 1997. Specification and testing the profit-concentration relationship in Australian manufacturing. Review of IndustrialOrganization 12 (2): 219–230.
Bikker, J. A., Broeders, D. and De Dreu, J. 2010. Stock market performanceand pension fund investment policy: rebalancing, free float, or market timing.International Journal of Central Banking 6 (2): 53–79.
134
© COPYRIG
HT UPM
Bikker, J. A. and Haaf, K. 2002. Competition, concentration and their relationship:An empirical analysis of the banking industry. Journal of Banking & Finance26 (11): 2191–2214.
Borenstein, S., Cameron, A. and Gilbert, R. 1997. Do gasoline prices respondasymmetrically to crude .
Boyd, M. S. and Brorsen, B. W. 1988. Price asymmetry in the US pork marketingchannel. North Central Journal of Agricultural Economics 10 (1): 103–109.
Bresnahan, T. F. 1982. The oligopoly solution concept is identified. EconomicsLetters 10 (1): 87–92.
Bresnahan, T. F. 1989. Empirical studies of industries with market power. Hand-book of industrial organization 2: 1011–1057.
Bresnahan, T. F. and Reiss, P. C. 1991. Entry and competition in concentratedmarkets. Journal of Political Economy 977–1009.
Brush, B. C. 1976. The influence of market structure on industry advertising in-tensity. The Journal of Industrial Economics 25 (1): 55–67.
Buccola, S. T. 1989. Pricing efficiency in agricultural markets: issues, methods,and results. Western Journal of Agricultural Economics 111–121.
Buschena, D. E. and Perloff, J. M. 1991. The creation of dominant firm mar-ket power in the coconut oil export market. American Journal of AgriculturalEconomics 73 (4): 1000–1008.
Buse, R. C. and Brandow, G. E. 1960. The relationship of volume, prices and coststo marketing margins for farm foods. Journal of farm economics 42 (2): 362370.
Buxton, A. J., Davies, S. W. and Lyons, B. R. 1984. Concentration and advertisingin consumer and producer markets. The Journal of Industrial Economics 32 (4):451–464.
Carlton, D. W. and Perloff, J. M. 2005. Modern Industrial Organization, Boston:Pearson Addison Wesley Press .
Carter, C. A. and Hamilton, N. A. 1989. Wheat inputs and the law of one price.Agribusiness 5 (5): 489496.
Caves, R. E. 1998. Industrial organization and new findings on the turnover andmobility of firms. Journal of economic literature 36 (4): 1947–1982.
Caves, R. E. and Bradburd, R. M. 1988. The empirical determinants of verticalintegration. Journal of Economic Behavior & Organization 9 (3): 265–279.
Celen, A. and Gunalp, B. 2010. Do Investigations of Competition AuthoritiesReally Increase the Degree of Competition? An Answer From Turkish CementMarket. Prague Economic Papers 2: 151.
135
© COPYRIG
HT UPM
Choi, B. P. and Weiss, M. A. 2005. An Empirical Investigation of Market Structure,Efficiency, and Performance in Property-Liability Insurance. Journal of Risk andInsurance 72 (4): 635–673.
Church, J. R. and Ware, R. 2000. Industrial organization: a strategic approach .
Collins, N. R. and Preston, L. E. 1968. Concentration and price-cost margins inmanufacturing industries . University of California Pr.
Collins, W. H. and Collins, C. B. 1984. Advertising and monopoly power: Thecase of the electric utility industry. Atlantic Economic Journal 12 (3): 45–53.
Comanor, W. S. 1974. Advertising and market power . , vol. 144. Harvard UniversityPress.
Corts, K. S. 1999. Conduct parameters and the measurement of market power.Journal of Econometrics 88 (2): 227–250.
Cowling, K. and Waterson, M. 1976. Price-cost margins and market structure.Economica 43 (171): 267–274.
Davidson, R. and MacKinnon, J. G. 1993. Estimation and inference in economet-rics. OUP Catalogue .
Delorme Jr, C. D., Klein, P. G., Kamerschen, D. R. and Voeks, L. F. 2003. Struc-ture, conduct and performance: a simultaneous equations approach. AppliedEconomics 35 (1): 13–20.
Demsetz, H. 1971. On the regulation of industry: a reply. The Journal of PoliticalEconomy 79 (2): 356–363.
Demsetz, H. 1973. Industry structure, market rivalry, and public policy. JL &Econ. 16: 1.
Deodhar, S. Y. and Sheldon, I. M. 1997. Market power in the world market forsoymeal exports. Journal of Agricultural and Resource Economics 78–86.
Department of Statistics, Malaysia. 2008, Malaysia Standard Industrial Classfica-tion (MSIC).
Department of Statistics, Malaysia. 2012, Annual Manufacturing EstarblishmentSurvey., Tech. rep., Kuala Lumpur, Malaysia.
Department of Veterinary Services. 2010, The Broiler Chicken Industry inMalaysia: Various Issues., Tech. rep., Kuala Lumpur, Malaysia.
Department of Veterinary Services Malaysia. 2011, Status of the Broiler ChickenIndustry in Year 2011 and Prospects for Year 2012.
136
© COPYRIG
HT UPM
Dickey, D. A. and Fuller, W. A. 1979. Distribution of the estimators for autoregres-sive time series with a unit root. Journal of the American statistical association74 (366a): 427–431.
Digal, L. N. 2001. An analysis of the structure of the Philippine retail food industry.Philippine Journal of Development 28 (1): 13–54.
Digal, L. N. 2010. Market power analysis: the case of poultry industry in thePhilippines. Journal of International Food & Agribusiness Marketing 23 (1):531.
Digal, L. N. and Ahmadi-Esfahani, F. Z. 2002. Market power analysis in the retailfood industry: a survey of methods. Australian Journal of Agricultural andResource Economics 46 (4): 559–584.
Dorfman, R. and Steiner, P. O. 1954. Optimal advertising and optimal quality.The American Economic Review 44 (5): 826836.
Engle, R. F. and Granger, C. W. 1987. Co-integration and error correction: rep-resentation, estimation, and testing. Econometrica: journal of the EconometricSociety 251–276.
Engle, R. F. and Yoo, B. S. 1987. Forecasting and testing in co-integrated systems.Journal of econometrics 35 (1): 143–159.
FAO, U. 2011. FAOSTAT database. Website UN FAO .
Farrell, M. J. 1952. Irreversible demand functions. Econometrica: Journal of theEconometric Society 171–186.
Federal Agricultural Marketing Authority (FAMA). 2010, Warta Barangan, KualaLumpur, Annual, Kuala Lumpur, Malaysia.
Federation of Livestock Farmers Association (FLFAM). 2011, Data Perangkaan,(Various Issues), Kuala Limpur Malaysia.
Fischer, T. and Kamerschen, D. R. 2003. Price-cost margins in the US airlineindustry using a conjectural variation approach. Journal of Transport Economicsand Policy 227–259.
Freeman, R. B. 1983. Unionism, price-cost margins, and the return to capital .National Bureau of Economic Research Cambridge, Mass., USA.
Frey, G. and Manera, M. 2005. Econometric models of asymmetric price transmis-sion .
Fridolfsson, S.-O. and Tangeraas, T. 2008, Market Power in the Nordic WholesaleElectricity Market: A Survey of the Empirical Evidence, Tech. rep.
Fu, X. M. and Heffernan, S. 2009. The effects of reform on Chinas bank structureand performance. Journal of Banking & Finance 33 (1): 3952.
137
© COPYRIG
HT UPM
Gardner, B. L. 1975. The farm-retail price spread in a competitive food industry.American Journal of Agricultural Economics 57 (3): 399409.
Geroski, P. A. 1982. Simultaneous equations models of the structure-performanceparadigm. European Economic Review 19 (1): 145–158.
Geroski, P. A. 1989. Entry, innovation and productivity growth. The Review ofEconomics and Statistics 572–578.
Geweke, J. F. and Singleton, K. J. 1980. Interpreting the likelihood ratio statisticin factor models when sample size is small. Journal of the American StatisticalAssociation 75 (369): 133–137.
Ghosh, M. 2003. Spatial integration of wheat markets in India: Evidence fromcointegration tests. Oxford Development Studies 31 (2): 159–171.
Gini, C. 1912. Variabilit e mutabilit. Reprinted in Memorie di metodologica statis-tica (Ed. Pizetti E, Salvemini, T). Rome: Libreria Eredi Virgilio Veschi 1.
Goddard, J. and Wilson, J. O. 2005. US credit unions: An empirical investigationof size, age and growth. Annals of Public and Cooperative Economics 76 (3):375–406.
Goldberg, L. G. and Rai, A. 1996. The structure-performance relationship forEuropean banking. Journal of Banking & Finance 20 (4): 745–771.
Goodwin, B. K. and Piggott, N. E. 2001. Spatial market integration in the presenceof threshold effects. American Journal of Agricultural Economics 83 (2): 302–317.
Goodwin, B. K. and Schroeder, T. C. 1991. Cointegration tests and spatial pricelinkages in regional cattle markets. American Journal of Agricultural Economics73 (2): 452–464.
Granger, C. W. and Newbold, P. 1974. Spurious regressions in econometrics. Jour-nal of econometrics 2 (2): 111120.
Granger, C. W. J. and Lee, T.-H. 1989. Investigation of production, sales andinventory relationships using multicointegration and non-symmetric error cor-rection models. Journal of applied econometrics 4 (S1): S145–S159.
Greer, D. F. 1980. Industrial organization and public policy . Macmillan New York.
Griffith, G. R. and Piggott, N. E. 1994. Asymmetry in beef, lamb and pork farm-retail price transmission in Australia. Agricultural Economics 10 (3): 307–316.
Gupta, V. K. 1983. A simultaneous determination of structure, conduct and per-formance in Canadian manufacturing. Oxford Economic Papers 35 (2): 281–301.
138
© COPYRIG
HT UPM
Haugh, L. D. 1976. Checking the independence of two covariance-stationary timeseries: a univariate residual cross-correlation approach. Journal of the AmericanStatistical Association 71 (354): 378–385.
Hay, D. A. and Morris, D. J. 1991. Industrial economics and organization: theoryand evidence. , vol. 686. Oxford University Press Oxford.
Heien, D. M. 1980. Markup pricing in a dynamic model of the food industry.American Journal of Agricultural Economics 62 (1): 10–18.
Hendricks, K. and McAfee, R. P. 2010. A theory of bilateral oligopoly. EconomicInquiry 48 (2): 391–414.
Hirschman, A. O. 1964. The paternity of an index. The American Economic Review54 (5): 761–762.
Horowitz, I. 1981. Market definition in antitrust analysis: a regression-based ap-proach. Southern Economic Journal 1–16.
Houck, J. P. 1977. An approach to specifying and estimating nonreversible func-tions. American Journal of Agricultural Economics 59 (3): 570–572.
Hough, J. R. 2006. Business segment performance redux: a multilevel approach.Strategic Management Journal 27 (1): 45–61.
Iwata, G. 1974. Measurement of conjectural variations in oligopoly. Econometrica:Journal of the Econometric Society 947–966.
Jimnez Toribio, R. and Garca del Hoyo, J. J. 2005. Vertical integration and pricetransmission in the Spanish distribution channel of the striped venus. RevistaEspaola de Estudios Agrosociales y Pesqueros .
Johansen, S. 1988. Statistical analysis of cointegration vectors. Journal of economicdynamics and control 12 (2): 231–254.
Johansen, S. 1991. Estimation and hypothesis testing of cointegration vectors inGaussian vector autoregressive models. Econometrica: Journal of the Econo-metric Society 1551–1580.
Johansen, S. and Juselius, K. 1990. Maximum likelihood estimation and inferenceon cointegration-with applications to the demand for money. Oxford Bulletin ofEconomics and statistics 52 (2): 169–210.
Jorgenson, D. W. and Fraumeni, B. M. 1992. Investment in education and USeconomic growth. The Scandinavian Journal of Economics S51–S70.
Kadiyali, V., Sudhir, K. and Rao, V. R. 2001. Structural analysis of competitivebehavior: New empirical industrial organization methods in marketing. Inter-national Journal of Research in Marketing 18 (1): 161–186.
139
© COPYRIG
HT UPM
Kalirajan, K. P. 1993. On the simultaneity between market concentration and prof-itability: the case of a small-open developing country. International EconomicJournal 7 (1): 31–48.
Kambhampati, U. S. 1996. Industrial concentration and performance: a study ofthe structure, conduct, and performance of Indian industry . Oxford UniversityPress Delhi.
Kambhampaty, S. M., Driscoll, P. J., Purcell, W. D. and Peterson, E. B. 1996.Effects of concentration on prices paid for cattle. United States Department ofAgriculture, Packers and Stockyards Programs, Grain Inspection, Packers andStockyards Administration.
Kaur, B. 2006. Asymmetric Price Transmission and Market Integration in theBroiler Industry in Peninsular Malaysia. PhD, thesis, Faculty of Economicsand Management, Universiti Putra Malaysia. Malaysia.
Kaur, B., Arshad, F. M. and Tan, H.-B. 2010. Spatial integration in the broilermarket in Peninsular Malaysia. Journal of International Food & AgribusinessMarketing 22 (1-2): 94–107.
Kinnucan, H. W. and Forker, O. D. 1987. Asymmetry in farm-retail price trans-mission for major dairy products. American Journal of Agricultural Economics69 (2): 285–292.
Kong, C. S. 2004. An Analysis of Market Concentration on Selected Food Man-ufacturing Industry in Malaysia. Master of science, Universiti Putra Malaysia.Malaysia.
Kulaksizoglu, T. 2004. Measuring the Effectiveness of Competition Policy: Evi-dence from the Turkish Cement Industry .
Kwoka Jr, J. E. and Ravenscraft, D. J. 1986. Cooperation v. rivalry: price-costmargins by line of business. Economica 351–363.
Lau, L. J. 1982. On identifying the degree of competitiveness from industry priceand output data. Economics Letters 10 (1): 93–99.
Lee, C. 2004. The determinants of innovation in the Malaysian manufacturingsector: an econometric analysis at the firm level. ASEAN Economic Bulletin21 (3): 319–329.
Lee, C.-Y. 2002. Advertising, its determinants, and market structure. Review ofIndustrial Organization 21 (1): 89–101.
Lee, P. A. 1981. The correlated bivariate inverted beta distribution. BiometricalJournal 23 (7): 693–703.
Lipczynski, J. and Wilson, J. 2001. Industrial Organisation, Edinburgh Gate. Pren-tice Hall.
140
© COPYRIG
HT UPM
Lu, K. 2009. The Chinese banking industry: efficiency, concentration, and prof-itability .
Lustgarten, S. H. 1975. The impact of buyer concentration in manufacturing in-dustries. The Review of Economics and Statistics 57 (2): 125–132.
Lutz, C., Van Tilburg, A. and van der Kamp, B. 1995. The process of short-and long-term price integration in the Benin maize market. European Review ofAgricultural Economics 22 (2): 191–212.
Maasoumi, E. 1999, In Handbook of income inequality measurement, In Handbookof income inequality measurement , 437–484, Springer, 437–484.
Malaysian Company Commission (MyCC). 2012, Review of Domestic Broiler Mar-ket?: An Interim Report Issues Paper, Tech. rep., Kuala Lumpur, Malaysia.
Martin, S. 1988. Market Power and/or Efficiency? The Review of Economics andStatistics 70 (2): 331–335. ArticleType: research-article / Full publication date:May, 1988 / Copyright 1988 The MIT Press.
Martin, S. 2001. Industrial organization: a European perspective. OUP Catalogue.
Martin, S. 2002. Advanced industrial economics . Blackwell publishers Oxford.
Mason, E. S. 1939. Price and production policies of large-scale enterprise. TheAmerican Economic Review 29 (1): 61–74.
Maudos, J. 1998. Market structure and performance in Spanish banking using adirect measure of efficiency. Applied Financial Economics 8 (2): 191–200.
Mcguigan, J. R., Moyer, R. and Harris, F. 2013. Managerial Economics: Applica-tions, Strategies and Tactics . South-Western.
Meyer, J. and Cramon-Taubadel, S. 2004. Asymmetric price transmission: a sur-vey. Journal of Agricultural Economics 55 (3): 581–611.
Ministry of Agriculture Malaysia. 2012, National Agro-Food Policy (2011-2020).
Misangyi, V. F., Elms, H., Greckhamer, T. and Lepine, J. A. 2006. A new per-spective on a fundamental debate: a multilevel approach to industry, corporate,and business unit effects. Strategic Management Journal 27 (6): 571–590.
Mishra, P. 2008. Concentration-Markup Relationship in Indian Manufacturing Sec-tor. Economic and Political Weekly 75–81.
Moghaddasi, R. 2008. Price Transmission in Horticultural Products Markets (CaseStudy of Date and Pistachio in Iran). In International Conference on AppliedEconomicsICOAE , 663.
141
© COPYRIG
HT UPM
Molyneux, P. and Forbes, W. 1995. Market structure and performance in Europeanbanking. Applied Economics 27 (2): 155–159.
Negassa, A., Myers, R. and Gabre-Madhin, E. Z. 2003, Analyzing grain marketefficiency in developing countries, Tech. rep., International Food Policy ResearchInstitute (IFPRI).
Oustapassidis, K. 1998. Performance of strategic groups in the Greek dairy indus-try. European Journal of Marketing 32 (11/12): 962–973.
Oustapassidis, K., Vlachvei, A. and Notta, O. 2000. Efficiency and market powerin Greek food industries. American journal of agricultural economics 82 (3):623–629.
Palaskas, T. B. and Harriss-white, B. 1993. Testing market integration: new ap-proaches with case material from the West Bengal food economy. The Journalof Development Studies 30 (1): 1–57.
Panzar, J. C. and Rosse, J. N. 1987. Testing for” monopoly” equilibrium. TheJournal of Industrial Economics 443–456.
Peltzman, S. 1977. The gains and losses from industrial concentration. NationalBureau of Economic Research Cambridge, Mass., USA.
Perloff, J. M., Karp, L. S. and Golan, A. 2007. Estimating market power andstrategies . Cambridge University Press.
Pesaran, M. H., Shin, Y. and Smith, R. J. 2001. Bounds testing approaches to theanalysis of level relationships. Journal of applied econometrics 16 (3): 289–326.
Phillips, P. C. and Perron, P. 1988. Testing for a unit root in time series regression.Biometrika 75 (2): 335–346.
Porter, M. E. 1981. The contributions of industrial organization to strategic man-agement. Academy of management review 6 (4): 609–620.
Ravallion, M. 1986. Testing market integration. American Journal of AgriculturalEconomics 68 (1): 102–109.
Ravallion, M. 1996. Issues in measuring and modeling poverty . World Bank-freePDF.
Reekie, W. D. 1975. Advertising and market structure: Another approach. TheEconomic Journal 85 (337): 156–164.
Rees, R. D. 1975. Advertising, Concentration and Competition: A Comment andFurther Results. The Economic Journal 85 (337): 165–172.
Ronnila, M. and Toppinen, A. 2000. Testing for oligopsony power in the Finnishwood market. Journal of Forest Economics 6 (1): 7–22.
142
© COPYRIG
HT UPM
Ruback, R. S. and Zimmerman, M. B. 1984. Unionization and profitability: Evi-dence from the capital market. The Journal of Political Economy 1134–1157.
Rugaya, M. 1993. Market Structure and Structure-Conduct-Paradigm; Empiri-cal Evidence from the developing Economies. Malaysian Journal of EconomiesStudies 30 (1): 55–76.
Rundfelt, R. 1973. Advertising Costs in Sweden: Structure and Determinants.Stock: Almqvist och Wiksell .
Salinger, M. A. 1984. Tobin’s q, unionization, and the concentration-profits rela-tionship. The Rand Journal of Economics 15 (2): 159–170.
Sanjun, A. I. and Gil, J. M. 2001a. A Note on Tests for Market Integration ina Multivariate Non-Stationary Framework. Journal of Agricultural Economics52 (2): 113–121.
Sanjun, A. I. and Gil, J. M. 2001b. Price transmission analysis: a flexible method-ological approach applied to European pork and lamb markets. Applied Eco-nomics 33 (1): 123–131.
Scherer, F. M. and Ross, D. 1990. Industrial market structure and market perfor-mance. Boston: Houghton Mifflin.
Schmalensee, R. 1988. Industrial economics: an overview. The Economic Journal98 (392): 643–681.
Schmalensee, R. 1989. Intra-industry profitability differences in US manufacturing1953-1983. The Journal of Industrial Economics 337–357.
Schmalensee, R. L., Armstrong, M. A., Willig, R. D. and Porter, R. H. 2007.Handbook of industrial organization. 3 . , vol. 3. Elsevier.
Setiawan, M., Emvalomatis, G. and Lansink, A. O. 2012. Industrial concentra-tion and price-cost margin of the Indonesian food and beverages sector. AppliedEconomics 44 (29): 3805–3814.
Shaffer, S. 1989. Competition in the US banking industry. Economics letters 29 (4):321–323.
Short, J. C., Ketchen, D. J., Bennett, N. and du Toit, M. 2006. An examinationof firm, industry, and time effects on performance using random coefficientsmodeling. Organizational Research Methods 9 (3): 259–284.
Silvapulle, P. and Jayasuriya, S. 1994. Testing for Philippines rice market inte-gration: A multiple cointegration approach. Journal of Agricultural Economics45 (3): 369–380.
Slade, M. E. 1986. Exogeneity tests of market boundaries applied to petroleumproducts. The Journal of Industrial Economics 291–303.
143
© COPYRIG
HT UPM
Song, N., Platts, K. and Bance, D. 2007. Total acquisition cost of overseas out-sourcing/sourcing: a framework and a case study. Journal of ManufacturingTechnology Management 18 (7): 858–875.
Spiller, P. T. and Huang, C. J. 1986. On the extent of the market: wholesalegasoline in the northeastern United States. The Journal of Industrial Economics131–145.
Statistics, D. o. 2007.Malaysia Year Book of Statistics 2007 . Department of Statis-tics Malaysia Kuala Lumpur.
Steen, F. and Salvanes, K. G. 1999. Testing for market power using a dynamicoligopoly model. International Journal of Industrial Organization 17 (2): 147–177.
Stierwald, A. 2010. The causes of profit heterogeneity in large Australian firms .
Stigler, G. J. and Sherwin, R. A. 1985. Extent of the Market, The. JL & Econ.28: 555.
Strickland, A. D. and Weiss, L. W. 1976. Advertising, concentration, and price-costmargins. The Journal of Political Economy 84 (5): 1109–1121.
Sutton, J. 1991. Sunk Costs and Market Structure: price competition, advertisingand the evolution of concentration. The MIT press.
Tapsir, S., Mokhdzir, H. L., Nor, R. S. and Jalil, N. 2011. Issues and Impactof Broiler Contract Farming in Peninsular Malaysia. Economic and TechnologyManagement Review 6: 33–57.
Tiffin, R. and Dawson, P. J. 2000. Structural breaks, cointegration and the farm-retail price spread for lamb. Applied Economics 32 (10): 1281–1286.
Tirole, J. 1999. Incomplete contracts: Where do we stand? Econometrica 67 (4):741–781.
Tobin, J. 1969. A general equilibrium approach to monetary theory. Journal ofmoney, credit and banking 1 (1): 15–29.
Tomek, W. E. and Robinson, K. L. 1990. Agricultural Product Prices, CornellUniversity Press. Ithaca and London .
Traill, W. B. and Gilpin, J. 1998. Changes in size distribution of EU food anddrink manufacturers: 1980 to 1992. Agribusiness 14 (4): 321329.
Tremblay, V. J. 2012. Introduction: Market Structure and Efficiency. Review ofIndustrial Organization 40 (2): 85–86.
Trostle, R. 2010. Global Agricultural Supply and Demand: Factors Contributing tothe Recent Increase in Food Commodity Prices (rev . DIANE Publishing.
144
© COPYRIG
HT UPM
Tung, G.-S., Lin, C.-Y. and Wang, C.-Y. 2010. The market structure, conductand performance paradigm re-applied to the international tourist hotel industry.African Journal of Business Management 4 (6): 1116–1125.
Tweeten, L. G. and Quance, C. L. 1969. Positivistic measures of aggregate supplyelasticities: some new approaches. The American Economic Review 59 (2): 175–183.
Uchezuba, D. I. 2010. Measuring Asymmetric Price and Volatility Spillover in TheSouth African Poultry Market . PhD thesis.
Vavra, P. and Goodwin, B. 2005, Analysis of price transmission along the foodchain, Tech. rep., OECD Publishing.
Veselska, E. 2005. The process of vertical coordination and its consequences withinthe beer commodity Chin. Zemedelska Ekonomika-Praha- 51 (9): 419.
von Cramon-Taubadel, S. 1998. Estimating asymmetric price transmission withthe error correction representation: An application to the German pork market.European Review of Agricultural Economics 25 (1): 1–18.
von Cramon-Taubadel, S., Loy, J.-P. and Meyer, J. 2006. The impact of cross-sectional data aggregation on the measurement of vertical price transmission:An experiment with German food prices. Agribusiness 22 (4): 505–522.
Voos, P. B. and Mishel, L. R. 1986. The union impact on profits: evidence fromindustry price-cost margin data. Journal of Labor Economics 105–133.
Wang, K.-L. and Wang, S.-C. 2008. Profitability, concentration, imports and ex-ports: the case of Taiwan’s midstream petrochemical industries. Applied Eco-nomics 40 (11): 1457–1473.
Ward, R. W. 1982. Asymmetry in retail, wholesale, and shipping point pricing forfresh vegetables. American Journal of Agricultural Economics 64 (2): 205–212.
Weerahewa, J. 2003. Estimating Market Power of Tea Processing Sector. SriLankan Journal of Agricultural Economics 5: 69–82.
Weiss, L. W. 1974. The concentration-profits relationship and antitrust. Industrialconcentration: The new learning 184.
Williams, C. H. and Bewley, R. A. 1993. Price arbitrage between Queensland cattleauctions. Australian Journal of Agricultural and Resource Economics 37 (1):33–55.
Williamson, O. E. 1971. The vertical integration of production: market failureconsiderations. The American Economic Review 61 (2): 112–123.
Willis, M. S. and Rogers, R. T. 1998. Market share dispersion among leadingfirms as a determinant of advertising intensity. Review of Industrial Organization13 (5): 495–508.
145
© COPYRIG
HT UPM
Wilson, R. 1975. Informational economies of scale. The Bell Journal of Economics184–195.
Wolffram, R. 1971. Positivistic measures of aggregate supply elasticities: some newapproaches-some critical notes. American Journal of Agricultural Economics53 (2): 356–359.
Ye, Q., Xu, Z. and Fang, D. 2012. Market structure, performance, and efficiency ofthe Chinese banking sector. Economic Change and Restructuring 45 (4): 337–358.
Zainalabidin, M. 2007, In 50 Years of Malaysian Agriculture: TransformationalIssues, Challenges and Direction, In 50 Years of Malaysian Agriculture: Trans-formational Issues, Challenges and Direction, first edition edn., first editionedn., 553–584, Malaysia: Penerbit Universiti Putra Malaysia, 553–584.
Zainalabidin, M. 2012, Vantage Point from the Livestock Supply Chain, Whereis the Beef ? 167 Inaugural Lecture Series, Faculty of Agriculture, UniversitiPutra Malaysia.
Zainalabidin, M., Kong Chee, S. and Mohaydin, Mohd, G. 2004. Structure, Con-duct and Performance of Animal and Marine Baseed Food Manufacturing In-dustries in Malaysia. Asian Food Journal (79).
Zainalabidin, M., Mad Nasir, S. and Eddie, F.C., C. 1992. Livestock and Feedstuffsectors, is there a comparative advantage? The Malaysian Journal of Agricul-tural Economics 1 (9): 29–45.
Zeidan, R. M. and Resende, M. 2009. Measuring market conduct in the Braziliancement industry: A dynamic econometric investigation. Review of IndustrialOrganization 34 (3): 231–244.
Zellner, A. 1991. Bayesian methods and entropy in economics and econometrics .Springer.
Zouari, A. 2010. Efficient Structure versus Market Power: Theories and EmpiricalEvidence. International Journal of Economics and Finance 2 (4): p151.
146
© COPYRIG
HT UPM
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